Server-side analytics

Server-side analytics refers to tracking and collecting website data on a dedicated server of a website or app rather than in the user’s browser (the “client”), as with traditional tracking. After capturing the data on your own server, you can modify it and forward it to existing analytics and marketing tools.

Server-side analytics provides increased security and control because there is an additional layer between the website and the data collection platform. Depending on the final configuration, the data is less affected by ad blockers and other tracking restrictions, making it more accurate and comprehensive. On the other hand, server-side analytics requires technical expertise and resources to set up and maintain.

Server-side analytics differs from client-side analytics, where data is transferred directly from the user’s browser (the client) to an external third-party server, like an analytics account.

Server-side tracking is one of the methods that can be used with a first-party collector, which combines the benefits of server-side and client-side tracking. In this approach, cookies are set on the client-side, and the tracking requests come directly to a first-party domain instead of a third-party analytics platform.

Tools that offer server-side analytics include Google Analytics 4 (GA4), Piwik PRO Analytics Suite, Matomo and Heap Analytics.

Learn more:


  • Piwik PRO Acquia award

    Piwik PRO recognized as the Emerging Partner of the Year by Acquia

    Organizations in regulated industries face a persistent challenge: they need sophisticated analytics and personalization to stay competitive, but must also meet strict requirements around data protection and user consent. For teams using enterprise digital experience platforms, this often means choosing between powerful marketing tools or compliance-first approaches. We’ve been working to solve this through our…

  • Banking website analytics for financial services: Tracking without compromising customer trust

    You don’t have to choose between insights and trust – modern banking analytics can deliver both when implemented correctly. This article explores best practices and recommended steps for banking website analytics, as well as ways to avoid common pitfalls to ensure compliance without sacrificing the quality of insights.